Trackarti: Tracking system for acute respiratory tract infection

This thesis introduces the Remote Medical Tracking Mobile System (TrackARTI) which guides parents or health expert users in the treatment of Acute Respiratory Tract Infections (ASYE) diseases for children aged 0-6 years. The main purpose of this system is to gather actual data belonging to the medical cases of ASYE period in various environments instantly, to display them when requested, to store them in structural form in order to understand by machines, to deduce the data through its retrieval mechanism and to make personalized medical suggestions or to present relevant new data inferred. The main user group of the system is pediatric specialists and parents. The main stakeholders of this system are parents, child patients, pediatric specialists and health personnel. The proposed TrackARTI system is an example of intelligent M-Health systems. The system has two basic outputs: TrackARTI Artificial Intelligence based Inferencing Mechanism and TrackARTI Mobile Application. In addition, the Artificial Intelligence based Inferencing Mechanism of the system involves two main activities in itself; 1) Medical Image Processing based Inferencing and 2) Semantic Web Based Inferencing of new medical data and suggestions through its Inference Rules.